Application of Multi-Channel Differential Optical Density on the Fast Determination of the Intracranial Hematomas Degree
WANG Jin-hai1, LIU Dong-yuan1, 2, WANG Hui-quan1*, ZHANG Yan-jun2, SUN Qiu-ming2, MA Jun2
1. School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China
2. Institute of Medical Equipment, Academy of Military Medical Sciences, Tianjin 300161, China
Abstract:Differential near infrared optical density has the advantages of rapid and noninvasive detection when detecting the traumatic subdural hematoma . This technology is a hot research topic in recent years, it has an important application in emergency treatment. To further improve the accuracy of traumatic subdural hematoma degree predication, the multi-channel differential absorbance method is used in this paper. We use 5 detectors that have different distance to the source to obtain absorbance data. In addition, we use partial least square method to establish the calibration model between the optical absorption coefficient of the brain and differential optical density. The model prediction results show that average relative error of absorption coefficient is 11.16%, and average relative error of hematoma depth is less than 1%. The model basically meets the demand of traumatic subdural hematoma degree predication. By introducing multi-channel differential optical density in the detection, it could eliminate the effects of individual differences and improve the accuracy of traumatic subdural hematoma degree predication. This method provides a new idea and an important reference for the brain detection with near infrared spectroscopy.
Key words:Traumatic subdural hematoma; Differential near infrared optical density; Multi-channel differential optical density
王金海,刘东远,王慧泉,张彦军,孙秋明,马 军. 多通道差分吸光度用于颅内血肿快速检测[J]. 光谱学与光谱分析, 2018, 38(10): 3205-3209.
WANG Jin-hai, LIU Dong-yuan, WANG Hui-quan, ZHANG Yan-jun, SUN Qiu-ming, MA Jun. Application of Multi-Channel Differential Optical Density on the Fast Determination of the Intracranial Hematomas Degree. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(10): 3205-3209.
[1] Tushar Kanti Bera. Intelligent Systems Reference Library, 2015, 74: 51.
[2] XU Gang, LI Xiao-li, LIU Xiao-min(徐 刚,李小俚,刘晓民). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2015,35(2): 552.
[3] Nourhashemi M,Mahmoudzadeh M, Wallois F. Neurophotonics, 2016, 3(1):015001.
[4] Uthaman S,Bom J S, Kim H S, et al. Journal of Biomedical Materials Research Part B Applied Biomaterials, 2016, 104(4): 825.
[5] Kato S, Yoshitani K, Ohnishi Y. Journal of Neurosurgical Anesthesiology, 2016, 28(4): 291.
[6] Braun T, Kunz U, Schulz C, et al. Unfallchirurg, 2014, 1: 1.
[7] Robertson C S,Gopinath S P, Chance B. Biomed. Opt., 1997, 2: 31.
[8] Salonia R, Bell M J, Kochanek P M, et al. Journal of Neurotrauma,2012, 29(3): 1047.
[9] Bartomiej Tyzo, Tomasz Trojanowski, Dariusz Sztzepanki, et al. Neurologia Praktyczna, 2014, 2: 13.
[10] WANG Xue-na, LI Wei-tao, QIAN Zhi-yu, et al(王雪娜, 李韪韬, 钱志余, 等). Acta Photonica Sinica(光子学报),2011,40(2):277.
[11] Li X M, Wei W H, Fan Y F, et al. Journal of Medical Imaging and Health Informatics, 2016, 6(7): 1741.
[12] Adkins C E, Mohammad A S, Terrellhall T B, et al. Clinical & Experimental Metastasis, 2016, 33(4): 373.
[13] Strangman Gary E, Zhang Quan, Li Zhi. NeuroImage, 2014, (85): 136.
[14] Hsieh C T, Su I C, Hsu S K, et al. Journal of Clinical Neuroscience, 2016, 34: 252.
[15] Wang L H, Jacques S L, et al. Computer Methods and Programs in Biomedicine, 1995, 47: 131.